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Senior Technology Leader | Forward Deployed Engineering, Agentic AI, Cloud, Analytics |Ex AWS
I am passionate about customers. I am passionate about developing high impact solutions. I am passionate about building diverse, highly effective teams through inspirational leadership. Currently, I am building agentic capabilities using OpenAI ChatGPT, Google Gemini, Anthropic Claude, AWS Strands, Elasticsearch, Cursor AI, and Python. The capability that these tools provide to developers and users is truly transformational. Prior to this development activity, I was an executive leader at Amazon for 11 years. I joined Amazon Web Services (AWS) in the very early days of cloud computing and built the US State, Local, and Education (SLED) solutions architecture organization into a high performing team, helping many of the most prestigious universities, such as Harvard and Notre Dame, migrate to the cloud. Similarly, I launched the Amazon Machine Learning Solutions Lab, a forward deployed engineering capability, and built it into a global organization for high impact solutions, such as the NFL Player Health and Safety. I brought my ML skills to Amazon Ads and built the “non-endemic” analytics team and doubled our influenced revenue in the first year alone and helped many of the largest customers in financial services, automotive, entertainment, travel, and telecom maximize their digital advertising spend. My undergraduate degree is in computer science and I love technology, such as software, analytics, and large language models (LLMs). I'm currently coding in Python and leveraging CursorAI and Claude Code to accelerate my work. I believe in giving back and am currently helping the UMass Computer Science Careers Office with mentoring students and formulating an open source learning program to give their student's real world experience. Banner info: The Linkedin banner was generated by Bing Image Creator using a DALL-E model and includes some of my favori
University of Massachusetts Amherst
Bachelor of Science - BS, Computer Science
N/A – Present
NYU Stern School of Business
Master of Business Administration - MBA, Finance and International Business
N/A – Present
Career Break
Professional development
August 1, 2025 – Present
Greater Boston
Amazon
Director, US Analytics and Insights
October 1, 2021 – June 1, 2023
Amazon Web Services (AWS)
Director, Amazon ML Solutions Lab
February 1, 2018 – November 1, 2021
Amazon Web Services (AWS)
AWS Sr Mgr, Head of US Public Sector Solutions Architecture
April 1, 2012 – February 1, 2018
MITRE
Cloud Computing
January 1, 2002 – January 1, 2012
Bedford, MA; McLean, VA
Black Ink Systems
VP of Engineering
January 1, 2001 – January 1, 2002
Greater Boston
Cultural Fit Analysis
The candidate's extensive experience at Amazon/AWS, a highly performance-driven and innovative culture, suggests a strong cultural fit for similar environments. Their history of launching new initiatives and scaling teams aligns with growth-oriented organizations. The recent self-directed learning in AI/LLMs demonstrates initiative and a passion for technology, which is a positive indicator for cultural alignment in a cutting-edge ML role. However, the candidate's experience is heavily weighted towards leadership and management rather than hands-on ML engineering, which might require careful consideration for a pure ML Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and organizational building skills. Their experience at Amazon/AWS suggests a high degree of operational excellence and customer obsession. The recent career break focused on AI development indicates adaptability and a drive for continuous learning, which aligns well with fast-paced, innovative environments. The candidate's ability to articulate complex technical concepts (e.g., agentic architectures, LLM challenges) suggests strong communication skills.